Manish Jain and Karl McGuire of Dgraph join Johnny and Jon to discuss caching in Go. What are caches, hit rates, admission policies, and why do they matter? How can you get started using a cache in your applications?
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Featuring:
Show Notes:
- ristretto - a high performance open source Go cache
- caffeine - a high performance caching library for Java that was part inspiration for ristretto.
- TinyLFU - a paper discussing a highly efficient cache admission policy adopted in many modern high performance caches
- BP-Wrapper - a paper discussing a way to improve lock contention for caches and databases
Something missing or broken? PRs welcome!